Commit Offshore

We are a cutting-edge cybersecurity company developing the VibeSec™ platform, an AI-native application security solution designed for modern software development. The platform embeds real-time security directly into the software lifecycle — from code creation to deployment — to prevent vulnerabilities before they occur, prioritize what matters, and streamline secure development workflows. 
 

About the Role — Senior Frontend Engineer
 

We are seeking a smart, curious, creative, and passionate Senior Frontend Engineer to join our team and help build a new and exciting product.

If you’re eager to lead, innovate, and grow professionally, this is a great opportunity to make a real impact.

What We’re Looking For

• 5+ years of experience designing and developing web user interfaces using JavaScript frameworks
• 2+ years of experience developing applications with TypeScript
• 5+ years of hands-on experience with React.js
• Solid understanding of UX design principles, including responsive and adaptive design

Role Overview:

We are seeking a highly experienced Senior Node.js Engineer to join our growing engineering team. As a senior member of our team, you will take on a leadership role in designing, implementing, and scaling highly performant systems. You will work with cloud infrastructure, primarily AWS, and build robust microservices that support high-load, real-time applications.

You will be responsible for architecting complex systems, ensuring scalability and efficiency while also providing mentorship to junior developers. This is an exciting opportunity for a self-driven, technically versatile engineer who is comfortable working independently and thrives in a fast-paced, collaborative environment.

Key Responsibilities:

• Architecture & Design: Lead the architecture and design of high-performance, scalable, and fault-tolerant Node.js applications and microservices running in a cloud environment (primarily AWS).
• Cloud Infrastructure: Utilize AWS services such as EC2, Lambda, RDS, DynamoDB, SQS, and others to ensure that applications are highly available, secure, and performant.
• Microservices: Build and manage distributed, high-load microservices that can scale effectively and handle large volumes of concurrent traffic.
• High-Performance Systems: Optimize Node.js applications for performance under high load, ensuring minimal latency and maximum throughput.
• Multithreading: Implement advanced multithreading techniques to enhance system performance and concurrency.

• Code Quality & Best Practices: Write clean, maintainable, and efficient code while adhering to industry best practices and design patterns.

   

  Required Qualifications:

• At least 5 years of experience as a Backend Developer.
• In-depth knowledge and experience developing API’s and microservices
• Strong proficiency with JavaScript, and Knowledge of Node.js and frameworks available for it (such as Express or equivalent)
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Understanding fundamental design principles behind a scalable application
• Experience working with various data storage solutions such as Redis, MongoDB, etc.
• Experience working with Queuing solutions such as gearman, RabbitMQ, SQS, etc.
• Implementing automated testing modules and unit tests
• Proficient understanding of code versioning tools, such as Git
• Experience with cloud services such as AWS and GCP
• Experience working with Linux

• Experience with CI/CD processes

   

  Desired Qualifications:

• Containerization & Orchestration: Familiarity with containerization (Docker) and orchestration tools (Kubernetes).
• Advanced Monitoring & Logging: Experience setting up advanced monitoring, logging, and alerting systems using tools such as AWS CloudWatch, Datadog, or ELK Stack.
• Security Best Practices: Understanding of secure coding practices and experience implementing security measures in cloud-based applications.

Responsibilities

• Act as the primary point of contact for all MongoDB-related topics, including reviewing and approving configuration and setup changes.
• Maintain and support MongoDB databases across both Atlas and on-prem environments.
• Maintain and support SQL Server and PostgreSQL databases in on-prem and AWS environments.
• Monitor database systems for health, performance, and availability.
• Advise software engineers on SQL query optimization and database schema design.
• Minimize database downtime and manage High Availability (HA) and Disaster Recovery (DR) strategies.
• Plan and contribute to long-term scalability and database architecture.
• Implement database changes, apply patches, and manage version upgrades.
• Assist with building and maintaining data extraction pipelines from MongoDB and SQL Server.
• Participate in the on-call rotation to support production systems.
   

Requirements

• 4+ years of combined experience across data platforms, including at least 2 years in a DBA role (MongoDB and relational databases, infrastructure, and application support).
• Hands-on data engineering experience (Airflow preferred).
• AWS experience (minimum 1 year).
• Advanced T-SQL development skills.
• Proficiency with Git and modern code management workflows.
• Strong understanding of backup, recovery, security, and data integrity principles.
• Excellent problem-solving skills with strong algorithmic thinking.
• Ability to work effectively in a fast-paced environment and meet deadlines.
• Fluent in English.
   

Nice to Have

• Experience with dbatools, Redgate SQL Toolbelt, Coralogix.
• Exposure to CI/CD pipelines and Liquibase.

Company is looking for a Senior Backend Engineer to help build the infrastructure that secures the world’s software supply chains. You’ll work closely with top-tier engineers to design and ship high-performance, secure systems at scale.

This role is a great fit for someone who thrives in fast-moving environments, enjoys solving deep technical challenges, and wants their work to have real impact.

    Responsibilities

• Design, build, and maintain scalable backend services and APIs
• Develop reliable, secure, and high-performance systems in a production environment
• Work with SQL and NoSQL databases to support application needs and performance goals
• Collaborate with engineers to design and improve microservices - based architecture
• Contribute to clean, maintainable codebases and strong engineering standards

• Troubleshoot and resolve complex issues across services and infrastructure

   

  Requirements

• Bachelor’s degree in Computer Science or a related field
• 5+ years of backend development experience building scalable applications
• Strong proficiency in Node.js
• Solid experience with SQL and NoSQL databases
• Familiarity with cloud services and microservices architecture
• Excellent problem-solving skills and a commitment to clean, maintainable code

We are looking for a Senior FS Engineer with 8 years of experience to join our  team. 
Our tech stack: React, TypeScript, Nodejs, Postgres, Redis, AWS

Responsibilities:

You’ll play a key role in designing and developing software, balancing backend and frontend development. Responsibilities include architecting scalable backend services, optimizing cloud-based solutions, and building interactive UI components and IDE plugins. Solve challenges like parsing large codebases, integrating AI assistants, and optimizing performance.

Requirements:

• Frontend: Deep expertise in React, TypeScript, and modern frontend architectures.
• Experience with Python or NodeJS - MUST
• Hands-on experience with AWS and cloud services
•  Use AI-powered dev tools in your day-to-day workflow.
• Experience working with CI/CD pipelines, automated testing, and modern development workflows.
• Experience with Infrastructure as Code (IAC) tools such as Terraform or Pulumi.

We are looking for a FULL-STACK ENGINEER – NEXT.JS / CONVERSATIONAL AI PLATFORM. 

As a Full-Stack Engineer, you will:

• Own the conversational UI and project workspace experience.
• Build real-time views of files and artifacts generated by the AI.
• Connect the frontend with backend APIs and agent workflows.
• Leverage AI tools yourself to move faster (for prototyping, scaffolding, and UX exploration).

RESPONSIBILITIES

Frontend / UX

• Build a modern conversational interface in Next.js (App Router) with a chat panel, streaming AI responses, and message history.
• Implement a dynamic “artifact viewer” area (e.g., file tree, previews, details) that updates as the agent creates or modifies assets.
• Create responsive, multi-panel layouts that work well on desktop and mobile.
• Optimize rendering and state management for long-lived sessions and many messages.

• Implement infinite scrolling / pagination patterns where needed (e.g., history, lists).

   

  Backend

• Strong backend engineering experience (Node.js + TypeScript preferred)
• Solid API design and implementation (REST/GraphQL), validation, and versioning
• Real-time/streaming delivery (SSE / WebSockets / fetch streaming)
• Data modeling + persistence (Postgres/SQL and/or NoSQL), migrations, indexing
• Async workflows: queues/jobs, retries, idempotency (SQS/RabbitMQ/Kafka/BullMQ or similar)
• Auth & security basics (OAuth/JWT, RBAC, secrets)
• Production readiness: logging/metrics/tracing, performance, debugging
• Comfortable using Next.js server features (Route Handlers/API routes) as the integration layer
   

Full-Stack Integration

• Implement and consume API routes for:
  • Sending messages to the agent.
  • Fetching and updating project artifacts.
  • Managing project/session state on the client.
• Integrate the frontend with backend agentic flows (tool calls, file operations, external system integrations).
• Apply sensible caching and revalidation strategies (ISR/ISG, SWR, edge caching) to reduce backend load while keeping data fresh.
• Collaborate with backend engineers on data contracts, tool schemas, and event formats.
   

AI-Assisted Development

• Use AI tools (such as Lovable, Base44, Bolt.new, model-based coding assistants, etc.) for:
  • Rapid UI prototyping.
  • Generating boilerplate.
  • Exploring UX and flow ideas.
• Be comfortable iterating quickly on product and UX based on feedback.
   

REQUIRED SKILLS

• Strong experience with Next.js (preferably App Router) and modern React.
• Experience building interactive UIs such as chat interfaces, dashboards, or IDE-like tools.
• Familiarity with:
  • Streaming responses (SSE, fetch streams, or similar).
  • State management patterns in React.
  • Basic web performance and rendering optimization.
• Experience integrating frontend code with backend APIs.
• Comfortable using AI tools to accelerate development rather than resisting them.
• Experience building conversational AI interfaces, copilots, or agent-based products.
• Exposure to LLM concepts such as function calling (tools), RAG, or vector search.
• Experience with Tailwind, component libraries, or design systems.
• Experience working with developer tools or “builder” style products.

We are seeking an experienced Mid/Mid+ Data Scientist with expertise in Large Language Models (LLMs) such as GPT, Claude, and related technologies. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and deep learning models. They will play a critical role in developing and deploying cutting-edge LLM applications to drive innovation across our product lines.

Responsibilities:

‌

• Design, develop and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answering
• Conduct research and experiments to push the boundaries of LLM capabilities and performance
• Collaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offerings
• Develop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoring
• Analyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracy
• Stay current with the latest advancements in LLMs, NLP and machine learning research

• Communicate complex technical concepts to both technical and non-technical stakeholders

   

Requirements:

‌

• MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field
• 2-3+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMs
• Expert knowledge of Python, PyTorch, TensorFlow, and common deep learning libraries
• Strong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modeling
• Experience training and fine-tuning large language models
• Experience with classical ML models - XGBoost, LightGBM
• Proficiency in model deployment, optimization, scaling and serving
• Excellent problem-solving, analytical and quantitative abilities
• Strong communication skills to present technical information clearly
• Ability to work collaboratively in a team environment

• Fluency in Ukrainian and English

   

Preferred:

• Research experience in LLMs, NLP, machine learning
• Experience working with multi-modal data (text, image, audio)
• Knowledge of cloud platforms like AWS, GCP for model training
• Understanding of MLOps and production ML workflows
• Background in information retrieval, knowledge graphs, reasoning

We are looking a highly skilled Senior DevOps Engineer to join our team. In this role, you will help optimize our infrastructure, improve deployment and delivery processes, and ensure the reliability, scalability, and security of our services.

Responsibilities

• Build, operate, and continuously improve production infrastructure and deployment pipelines
• Manage and scale Kubernetes environments and associated cloud services
• Improve platform reliability through monitoring, alerting, and incident response practices
• Automate infrastructure provisioning and configuration using Infrastructure-as-Code tools
• Partner with engineering teams to streamline build/release processes and optimize developer experience
• Implement and promote security best practices across infrastructure and CI/CD workflows

• Troubleshoot complex system issues across cloud, networking, and container orchestration layers

   

Requirements

• 5+ years of experience in a DevOps/SRE/Platform Engineering role
• Strong knowledge of cloud platforms: AWS, Azure, or Google Cloud Platform
• Deep hands-on Kubernetes expertise, including managed platforms (EKS, AKS, GKE) and internals
• Experience with monitoring, logging, and alerting tools such as Prometheus, Grafana, Datadog, Coralogix, Logz.io
• Strong experience with containerization technologies (Docker, containers/CRI) and Kubernetes tooling (kubeadm, Minikube)
• Hands-on experience with infrastructure automation tools such as Terraform, Helm, ArgoCD, Terragrunt
• Strong scripting skills in Python, Bash, or similar languages
• Solid understanding of security concepts, principles, and best practices
• Excellent problem-solving abilities, attention to detail, and communication skills

Role Overview:

We are looking for a Strong Mid - level Automation QA Engineer to join our team in Poland. The role will primarily focus on API testing (80%) with UI testing (20%). You will help design, enhance, and maintain automation frameworks, ensuring efficient and scalable testing.

Key Responsibilities:

Automation Framework & Strategy

• Contribute to designing and improving automation testing strategies.
• Develop and maintain automation frameworks for API, UI, and LLM validation.

• Ensure scalability, maintainability, and reusability of automation code.

   

Test Development & Execution

• API Testing: Develop automated API tests in Python using the Requests library.
• UI Testing: Create and maintain UI tests with Playwright.
• Integrate automated tests with Postman collections where applicable.

• Execute performance, regression, and functional tests.

   

Continuous Integration & Deployment

• Integrate automation tests into CI/CD pipelines (Jenkins preferred).

• Work with Docker and Kubernetes to manage and scale test environments.

   

Collaboration & Documentation

• Collaborate with developers, QA, and DevOps teams to improve the QA process.
• Write test plans, strategies, and design documents.
• Track issues using Jira and manage test cases (Xray optional).

• Analyze logs, investigate failures, and troubleshoot in staging and production.

   

Required Qualifications & Experience:

✅ Must-Have:

• 5 years of experience in test automation or a related QA role.
• Strong programming skills in Python.
• Solid experience in API automation (Requests library) and UI automation (Playwright).
• Experience with CI/CD tools (Jenkins preferred).
• Experience with Docker & Kubernetes for test environments.
• Strong analytical, problem-solving, and debugging skills.
• Experience with Jira for tracking and reporting.

• Ability to work independently and proactively in a fast-paced environment.

   

✅ Nice to Have:

• Experience with Kafka.
• Familiarity with Xray for test management.
• Knowledge of AWS cloud services.

Responsibilities:

‌

• Design, develop and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answering
• Conduct research and experiments to push the boundaries of LLM capabilities and performance
• Collaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offerings
• Develop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoring
• Analyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracy
• Stay current with the latest advancements in LLMs, NLP and machine learning research
• Communicate complex technical concepts to both technical and non-technical stakeholders

Requirements:

‌

• MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field
• 4+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMs
• Expert knowledge of Python, PyTorch, TensorFlow, and common deep learning libraries
• Strong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modeling
• Experience training and fine-tuning large language models
• Proficiency in model deployment, optimization, scaling and serving
• Excellent problem-solving, analytical and quantitative abilities
• Strong communication skills to present technical information clearly
• Ability to work collaboratively in a team environment
• Fluency in Ukrainian and English

Preferred:

• Research experience in LLMs, NLP, machine learning
• Experience working with multi-modal data (text, image, audio)
• Knowledge of cloud platforms like AWS, GCP for model training
• Understanding of MLOps and production ML workflows
• Background in information retrieval, knowledge graphs, reasoning

What you’ll do:
• You'll be the owner of all analytical aspects of your domains
• Build and maintain reports, dashboards, and metrics, in addition to monitoring the integrity and validity of the data reported.
• Use analytical tools, data mining, and business logic to consult the product team on various day-to-day tasks.
• Analyze and optimize products and activities, take part in design and implementation, and be a key part of strategic product decisions.
• Own and manage multiple data initiatives and projects both on an on-going and an ad-hoc basis.
• Define alerts and monitor performance to improve processes efficiency
• Provide supporting data for prioritizing new features and initiatives
• Work closely with the Product, R&D, Operations and Business teams.
 

What you’ll need:
• 4+ years of experience working in a Product/Data/Business/Operations Analysis position in a high data-rich environment
• Excellent proficiency in SQL
• Excellent communication skills with the ability to deliver results of analyses clearly and effectively
• Fast learning capabilities and proven ability to multitask - working on several projects at a time.
• BSc/BA in a highly quantitative field such as mathematics, statistics, or engineering.
• Proven experience working with AI tools for analytics
• Experience in Tableau/Power BI/Looker - an advantage
• Experience in analyzing datasets via an LLM tool - an advantage
• Python/R experience - an advantage
• Passion for sports - advantage

Role Overview:

We are looking for a Mid-level Automation QA Engineer to join our team in Poland. The role will primarily focus on API testing (80%) with UI testing (20%). You will help design, enhance, and maintain automation frameworks, ensuring efficient and scalable testing.

Key Responsibilities:

Automation Framework & Strategy

• Contribute to designing and improving automation testing strategies.
• Develop and maintain automation frameworks for API, UI, and LLM validation.

• Ensure scalability, maintainability, and reusability of automation code.

   

Test Development & Execution

• API Testing: Develop automated API tests in Python using the Requests library.
• UI Testing: Create and maintain UI tests with Playwright.
• Integrate automated tests with Postman collections where applicable.

• Execute performance, regression, and functional tests.

   

Continuous Integration & Deployment

• Integrate automation tests into CI/CD pipelines (Jenkins preferred).

• Work with Docker and Kubernetes to manage and scale test environments.

   

Collaboration & Documentation

• Collaborate with developers, QA, and DevOps teams to improve the QA process.
• Write test plans, strategies, and design documents.
• Track issues using Jira and manage test cases (Xray optional).

• Analyze logs, investigate failures, and troubleshoot in staging and production.

   

Required Qualifications & Experience:

✅ Must-Have:

• 5 years of experience in test automation or a related QA role.
• Strong programming skills in Python.
• Solid experience in API automation (Requests library) and UI automation (Playwright).
• Experience with CI/CD tools (Jenkins preferred).
• Experience with Docker & Kubernetes for test environments.
• Strong analytical, problem-solving, and debugging skills.
• Experience with Jira for tracking and reporting.

• Ability to work independently and proactively in a fast-paced environment.

   

✅ Nice to Have:

• Experience with Kafka.
• Familiarity with Xray for test management.
• Knowledge of AWS cloud services.

Commit Offshore is an integral part of COMMIT, the largest IT powerhouse based in Israel and the US, delivering cutting-edge development projects efficiently since 2005. Starting with a simple mission to provide top-tier IT professionals, we have evolved into a leading provider of IT staff augmentation and outstaffing services with 900+ employees.

In this role, you will be responsible for sourcing, attracting, and hiring top tech talent across different domains and levels of complexity.
 

As we continue to expand our international presence, we are looking for a Mid-Level Technical Recruiter to join our dynamic team and help us attract top-tier technical talent.
 

About the Role

In this role, you will be responsible for sourcing, attracting, and hiring top tech talent across different domains and levels of complexity.
 

Key Responsibilities

• Manage end-to-end recruitment for a variety of technical positions, including Software Engineers, DevOps, Cloud Architects, Data Engineers, QA, and more.
• Source high-quality candidates through multiple channels (LinkedIn Recruiter, job boards, referrals, networking, etc.).
• Assess candidates’ technical and cultural fit, collaborating with hiring managers to ensure alignment with client needs.
• Work with an international talent pool across different time zones and regions (Europe, North America, LATAM, etc.).
• Build and maintain a strong talent pipeline for ongoing and future hiring needs.
• Ensure a great candidate experience throughout the recruitment process.
• Track and manage candidate data within the Applicant Tracking System (ATS).
• Stay up to date with tech industry trends, hiring best practices, and outstaffing recruitment models.
   

Requirements

• 2-4 years of experience as a Technical Recruiter in an international outstaffing or IT services company.
• Strong experience recruiting for various tech positions at different seniority levels.
• Familiarity with cloud, DevOps, AI/ML, and software engineering roles is a plus.
• Knowledge of global recruitment trends and experience sourcing talent from multiple regions.
• Proficiency in using ATS platforms and LinkedIn Recruiter.
• Excellent communication and negotiation skills.
• Ability to work in a fast-paced, dynamic environment and manage multiple requisitions.
   

Nice to Have

• Experience hiring for niche or high-demand tech roles.
• Understanding of outstaffing models and international labor laws.
• Familiarity with technical assessment tools and processes.

Core Responsibilities

 • Data Pipeline Management: Develop, optimize, and maintain scalable data pipelines to ensure high-quality data flow. 

• API Development: Build and maintain high-performance backend APIs using FastAPI. 

• System Reliability: Proactively identify bottlenecks and improve system stability within existing infrastructures.

 • Collaboration: Work closely with cross-functional teams to integrate AWS services and workflow orchestration tools into the production environment.

 

Required Qualifications 

• Experience: 3+ years of professional Python development experience. 

• Databases: Strong proficiency in both SQL and NoSQL database design and management. 

• DevOps Tools: Hands-on experience with Docker, CI/CD pipelines, and Git version control. 

• Frameworks: Proven experience building applications with FastAPI.

• Cloud & Orchestration: Practical experience with AWS services and familiarity with Airflow (or similar workflow orchestration tools). 

• Communication: Upper-Intermediate level of English (written and spoken) for effective team collaboration. 

 

 Preferred Skills (Nice to Have) 

• Experience within the Financial Domain. 

• Hands-on experience with Apache Spark and complex ETL pipelines.

• Knowledge of container orchestration using Kubernetes. 

• Exposure to or interest in Large Language Models (LLMs) and AI integration.

About the position

• Develop and design a scalable system
• Investigate new technological areas and understand them in depth through rapid self-learning
• Demonstrate strong analytical problem-solving skills to support scalable and sustainable design solutions
• Deliver high-quality solutions to our clients by adhering to software design, development, and testing best practices

Position Requirements:

• At least 3 years of experience as a Java/J2EE developer
• Experience in Relational/NoSql Distributed Databases
• Solid understanding of Messaging platforms (Kafka etc.)
• Experience with developing microservices-based architecture.
• Experience in Spring framework, Springboot, Hibernate, and In-depth knowledge of Java 8+ development
• Experience in unit testing frameworks, such as Junit, TestNG, etc.
• Experience in writing design documents for SW architecture
•  Comfortable tackling new problems and thinking outside the box
• Ability to work independently with minimum supervision and to take on additional tasks as required

Working in a scrum team

Advantages:

•  Python, Spark
• Experience with Kubernetes
• Advanced Dev Environment knowledge: Maven, GIT, Jenkins, Docker
• Experience working as a software developer in an Agile environment
• Experience in CI tools such as Jenkins
•  Working in a Linux environment